Investing for Retirees · October 10, 2026

Mag 7 Dip-Buying, Backtested: After a Historic Plunge, How Long to +50%?

Data: January 1, 2010 – October 9, 2026. Daily adjusted closes (Yahoo Finance). This article is financial education, not investment advice.

The method first, conclusions second

Core findings

Finding 1: a 100% hit rate in the historical sample. Since 2010, the seven stocks triggered 13 times combined — all 13 reached +50% within three years. Keep the denominator in view: the sample is small, and outside of Apple nearly every trigger came from the 2022 bear market.

Finding 2: the deeper the dip, the faster the rebound. The most consistent pattern in the entire study:

StockEntry dipTriggers+50% hitLongest wait
META-60%11/1155 days
TSLA-60%33/3122 days
NVDA-60%11/193 days
AMZN-50%11/1188 days
GOOGL-40%11/1183 days
MSFT-30%11/1203 days
AAPL-30%66/6401 days

Calibrated to each stock's own volatility, the longest wait from a "generational" dip to +50% clusters between three months and just over a year. What differs isn't the waiting time — it's the frequency: Apple offered six such setups in sixteen years; Meta offered one.

Stock by stock

META (-60% | 1 trigger | 155 days). Triggered September 14, 2022, amid the rate-hike bear market compounded by panic over metaverse spending; the stock ultimately drew down -76.7%. Then came 2023's "year of efficiency" — cost cuts and an advertising recovery — and +50% arrived about seven months (155 trading days) later.

TSLA (-60% | 3 triggers | 122 days max). Three triggers: March 18, 2020 (COVID crash, +50% in 14 days), December 13, 2022 (bear market, 122 days), and March 14, 2024 (76 days). Its high-beta nature means bottoms are often followed by violent snapbacks. Note: the early-2019 drawdown was about -50% and never reached the -60% line, so it is excluded from this count.

NVDA (-60% | 1 trigger | 93 days). Triggered September 13, 2022 (rate-hike cycle); +50% came 93 days later, just ahead of the generative-AI wave that powered its historic run. Note: the late-2018 crypto-bust drawdown was about -56% and never reached -60%; the -66.3% all-time maximum drawdown also dates to 2022.

AMZN (-50% | 1 trigger | 188 days). Triggered November 2, 2022 (e-commerce growth slowdown plus cost pressure); roughly six months (188 days) to climb out — a typical large-cap growth repair rhythm.

GOOGL (-40% | 1 trigger | 183 days). Triggered November 2, 2022. Its resilient business model rarely produces 50–60% panic selloffs; about six months to the +50% target.

MSFT (-30% | 1 trigger | 203 days). Triggered September 23, 2022. Among the megacaps Microsoft is one of the most drawdown-resistant names; -30% already counts as a historic dip for it, repaired through steady grinding over 203 days.

AAPL (-30% | 6 triggers | 401 days max). Six triggers spanning 2013 (401 days), 2016 (191), 2018 (210), 2020 (54), 2022 (124), and 2025 (123). The biggest ship grinds the slowest — the 2013 episode needed about nineteen months to reach +50%, the longest wait in the entire study.

Caveats before using these numbers

  1. Survivorship bias. Every name in the table grew into a top global market capitalization. Apply the same "buy the deep dip" to an ordinary growth or cyclical stock without a moat and the dip can keep dipping — possibly never recovering.
  2. Concentrated sample. Outside Apple, nearly every trigger comes from the 2022 bear market. These statistics describe "that bear market," not "every bear market."
  3. No stop-loss assumed. The backtest holds through the pain by design. In reality, positions routinely drew down another ~20% after entry (in Tesla's 2022 case, -55.8% further). Position sizing matters more than the entry point.
  4. Before taxes and trading costs. Real returns must deduct capital-gains taxes, commissions, and bid-ask spreads.
  5. History is not the future. Sixteen years of "big tech always comes back" reflect a specific rate regime, industry growth phase, and valuation backdrop. Do not apply mechanically.
  6. A different philosophy. Dip-buying is mean reversion — the opposite of trend following (e.g., exiting on a moving-average breakdown). Don't run both logics inside one system.

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